2 citations · 2 across the 4 of their papers we have counts for
4 papers
Synthetic Counteradaptation: A Principle of Human-AI Co-evolution
Ivar Frisch, Jackie Kay, Philip Moreira Tomei
In this paper, we introduce the concept of synthetic counteradaptation, a process where human and AI systems co-evolve by adapting to each other's strategies and behaviors. Synthet…
What Jobs Can AI Learn? Measuring Exposure by Reinforcement Learning
Philip Moreira Tomei, Bouke Klein Teeselink
Which jobs can AI learn to do? We examine this for every occupation in the US economy. Existing indices measure the overlap between AI capabilities and occupational tasks rather th…
AI Governance through Markets
Philip Moreira Tomei, Rupal Jain, Matija Franklin
This paper argues that market governance mechanisms should be considered a key approach in the governance of artificial intelligence (AI), alongside traditional regulatory framewor…
Strengthening the EU AI Act: Defining Key Terms on AI Manipulation
Matija Franklin, Philip Moreira Tomei, Rebecca Gorman
The European Union's Artificial Intelligence Act aims to regulate manipulative and harmful uses of AI, but lacks precise definitions for key concepts. This paper provides technical…